Efficient Matrix Sketching over Distributed Data
Summary: Tight deterministic lower bound on communication for covariance sketches (||A^T A - B^T B||_2) in the s-server distributed model, proving a deterministic vs randomized gap. Randomized one-pass, low-space protocols bypass the bound to cut communication and improve distributed PCA. (summarized by gpt-5-mini on Feb 09 2026)
Incoming Non-self Citations Over Time
Authors
- 1. Zengfeng Huang (University of New South Wales)
- 2. Xuemin Lin (University of New South Wales)
- 3. Wenjie Zhang (University of New South Wales)
- 4. Ying Zhang (University of Technology Sydney)
BibTeX Citation
@inproceedings{huang_pods17,
address = {New York, NY, USA},
series = {{PODS} '17},
title = {{Efficient Matrix Sketching over Distributed Data}},
url = {https://dl.acm.org/doi/10.1145/3034786.3056119},
doi = {10.1145/3034786.3056119},
booktitle = {Proceedings of the {ACM} {SIGMOD} Symposium on {Principles} of {Database} {Systems}},
publisher = {Association for Computing Machinery},
author = {Huang, Zengfeng and Lin, Xuemin and Zhang, Wenjie and Zhang, Ying},
year = {2017}
}
Incoming Citations (Sorted by Pagerank)
Showing 1 of 1 citing papers.
| Rank | Citing Paper | Year | Venue | Pagerank |
|---|---|---|---|---|
| 10,627 | AeroSketch: Near-Optimal Time Matrix Sketch Framework for Persistent, Sliding Window, and Distributed Streams | 2026 | SIGMOD | 4.9769913e-05 |
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Outgoing Citations (Sorted by Pagerank)
Showing 7 of 7 cited papers.
Citations counted here include only citations to other VLDB/SIGMOD/CIDR/PODS papers in this database.
| Rank | Cited Paper | Year | Venue | Pagerank |
|---|---|---|---|---|
| 456 | Mergeable Summaries | 2012 | PODS | 0.00017904764 |
| 1,233 | Communication Steps for Parallel Query Processing | 2013 | PODS | 0.00011404978 |
| 1,482 | Skew in Parallel Query Processing | 2014 | PODS | 0.00010534147 |
| 6,067 | Streaming Anomaly Detection Using Randomized Matrix Sketching | 2016 | VLDB | 5.8949751e-05 |
| 6,122 | The Communication Complexity of Distributed Set-Joins with Applications to Matrix Multiplication | 2015 | PODS | 5.8773159e-05 |
| 6,837 | Matrix Sketching Over Sliding Windows | 2016 | SIGMOD | 5.6657713e-05 |
| 6,838 | Continuous Matrix Approximation on Distributed Data | 2014 | VLDB | 5.6657713e-05 |
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Semantically Similar Papers
| # | Overall Rank | Paper | Year | Venue |
|---|---|---|---|---|
| 1 | 12,200 | Distributed Statistical Estimation of Matrix Products with Applications | 2018 | PODS |
| 2 | 3,873 | SketchML: Accelerating Distributed Machine Learning with Data Sketches | 2018 | SIGMOD |
| 3 | 6,171 | Automatic Optimization of Matrix Implementations for Distributed Machine Learning and Linear Algebra | 2021 | SIGMOD |
| 4 | 1,170 | Graph Sketches: Sparsification, Spanners, and Subgraphs | 2012 | PODS |
| 5 | 5,913 | Active Sampling Count Sketch (ASCS) for Online Sparse Estimation of a Trillion Scale Covariance Matrix | 2021 | SIGMOD |
| 6 | 2,724 | Exploiting Matrix Dependency for Efficient Distributed Matrix Computation | 2015 | SIGMOD |
| 7 | 6,837 | Matrix Sketching Over Sliding Windows | 2016 | SIGMOD |
| 8 | 10,627 | AeroSketch: Near-Optimal Time Matrix Sketch Framework for Persistent, Sliding Window, and Distributed Streams | 2026 | SIGMOD |
| 9 | 8,712 | sPCA: Scalable Principal Component Analysis for Big Data on Distributed Platforms | 2015 | SIGMOD |
| 10 | 6,838 | Continuous Matrix Approximation on Distributed Data | 2014 | VLDB |